RSI-MRI+ is standalone software that is used by radiologists, urologists, and other clinicians to assist with analysis and interpretation of medical images. RSI-MRI+ acceptsDICOM images using supported protocols and performs automatic post-acquisition analysis of diffusion-weighted magnetic resonance imaging (DWI) data and optionalautomated fusion of derived image data with anatomical T2-weighted MR images. Some of the features of RSI-MRI+ include: • Restricted Signal Map: The derived image data produced by RSI-MRI+ includes an enhanced DWI map (the Restricted Signal Map), which demonstrates improved conspicuity of restricted diffusion compared to standard DWI maps. • Color Fusion Series: RSI-MRI+ can be configured to produce a color fusion series which overlays the Restricted Signal Map intensity onto the anatomical T2-weighted image series. • Automated Prostate Segmentation: RSI-MRI+ uses artificial intelligence (AI) powered by a deep learning algorithm to automatically segment the prostate on anatomical T2-weighted images. The segmentation result is provided in the separate Prostate Segmentation Series. • Automated Segmentation Report: RSI-MRI+ generates a report of segmentation volume and images of the segmented prostate as a colored outline on the anatomical image. • Export: RSI-MRI+ outputs are provided in standard DICOM format, which is compatible with most third-party commercial PACS workstation software. NOTE: The RSI-MRI+ supported protocols differ from PI-RADS v2.1 in that they have lower inplane resolution for T2W images and thicker slices for the GE DW
A software application intended to facilitate management, distribution, and/or viewing of radiological digital imaging and communications in medicine (DICOM) image data; it is not intended for pathological image interpretation (i.e., not intended to detect and localize suspected abnormalities). It may be intended to facilitate image management (e.g., viewing, communication, printing, recording/ disc burning) and/or image manipulation and quantification (e.g., non-interpretive graphical overlays).